HARPO: Learning to Subvert Online Behavioral Advertising
Online behavioral advertising, and the associated tracking paraphernalia, poses a real privacy threat. Unfortunately, existing privacy-enhancing tools are not always effective against online advertising and tracking. We propose Harpo, a principled learning-based approach to subvert online behavioral advertising through obfuscation. Harpo uses reinforcement learning to adaptively interleave real page visits with fake pages to distort a tracker's view of a user's browsing profile. We evaluate Harpo against real-world user profiling and ad targeting models used for online behavioral advertising. The results show that Harpo improves privacy by triggering more than 40% incorrect interest segments and 6x higher bid values. Harpo outperforms existing obfuscation tools by as much as 16x for the same overhead. Harpo is also able to achieve better stealthiness to adversarial detection than existing obfuscation tools. Harpo meaningfully advances the state-of-the-art in leveraging obfuscation to subvert online behavioral advertising
Code (0)
등록된 구현이 없습니다.
Tasks
Reinforcement Learning (RL)Similar Papers 제목 키워드 기반
CharPoet: A Chinese Classical Poetry Generation System Based on Token-free LLM
Automatic Chinese classical poetry generation has attracted much research interest, but achieving effective control over format and content simultaneously remains challenging. Traditional systems usually accept keywords …
Language ModellingHarpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
Generating tabular data under conditions is critical to applications requiring precise control over the generative process. Existing methods rely on training-time strategies that do not generalise to unseen constraints d…
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation
High-resolution representation is essential for achieving good performance in human pose estimation models. To obtain such features, existing works utilize high-resolution input images or fine-grained image tokens. Howev…
Pose EstimationConsumers' Perceived Privacy Violations in Online Advertising
In response to privacy concerns about collecting and using personal data, the online advertising industry has been developing privacy-enhancing technologies (PETs), e.g., under Google's Privacy Sandbox initiative. In thi…
Symmetries, Scaling Laws and Phase Transitions in Consumer Advertising Response
Understanding how consumers respond to business advertising efforts is essential for optimizing marketing investment. This research introduces a new modeling approach based on the concepts of symmetries and scaling laws …
MarketingSensitivity